My name is Miltiadis (Miltos) Kofinas, and I am a Postdoctoral researcher in the Climate Extremes Group at the Vrije Universiteit Amsterdam, supervised by Dim Coumou. My research focuses on the development of AI methods for climate science, and especially on foundation models for weather forecasting. My research interests include graph neural networks, neural fields, geometric deep learning, and parameter-space networks.

I completed my PhD in the Video & Image Sense Lab at the University of Amsterdam, supervised by Efstratios Gavves. My research focused on future spatio-temporal forecasting, with applications on forecasting for autonomous vehicles. Prior to my PhD, I received a Diploma in Electrical and Computer Engineering from the Aristotle University of Thessaloniki. For my Diploma thesis, I researched the topic of Scene Graph Generation using Graph Neural Networks, supervised by Christos Diou and Anastasios Delopoulos. During my studies, I was a computer vision & machine learning engineer at P.A.N.D.O.R.A. Robotics.

From MLP to NeoMLP: Leveraging Self-Attention for Neural Fields
Miltiadis Kofinas, Samuele Papa, Efstratios Gavves
Preprint
Paper: https://arxiv.org/abs/2412.08731/
Source code: https://github.com/mkofinas/neomlp

How to Train Neural Field Representations: A Comprehensive Study and Benchmark
Samuele Papa, Riccardo Valperga, David M Knigge, Miltiadis Kofinas, Phillip Lippe, Jan-Jakob Sonke, Efstratios Gavves
CVPR 2024
Paper: https://arxiv.org/abs/2312.10531
Source code: https://github.com/samuelepapa/fit-a-nef

Amortized Equation Discovery in Hybrid Dynamical Systems
Yongtuo Liu, Sara Magliacane, Miltiadis Kofinas, Efstratios Gavves
ICML 2024
Paper: https://arxiv.org/abs/2406.03818
Source code: https://github.com/yongtuoliu/Amortized-Equation-Discovery-in-Hybrid-Dynamical-Systems

Graph Neural Networks for Learning Equivariant Representations of Neural Networks
Miltiadis Kofinas, Boris Knyazev, Yan Zhang, Yunlu Chen, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, David W. Zhang
ICLR 2024 (Oral)
Paper: https://arxiv.org/abs/2403.12143
Source code: https://github.com/mkofinas/neural-graphs

Latent Field Discovery in Interacting Dynamical Systems with Neural Fields
Miltiadis Kofinas, Erik J Bekkers, Naveen Shankar Nagaraja, Efstratios Gavves
NeurIPS 2023
Paper: https://arxiv.org/abs/2310.20679
Source code: https://github.com/mkofinas/aether

Graph Switching Dynamical Systems
Yongtuo Liu, Sara Magliacane, Miltiadis Kofinas, Efstratios Gavves
ICML 2023
Paper: https://arxiv.org/abs/2306.00370
Source code: https://github.com/yongtuoliu/Graph-Switching-Dynamical-Systems

Roto-translated Local Coordinate Frames for Interacting Dynamical Systems
Miltiadis Kofinas, Naveen Shankar Nagaraja, Efstratios Gavves
NeurIPS 2021
Paper: https://arxiv.org/abs/2110.14961
Source code: https://github.com/mkofinas/locs